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MCS
2000
Springer
15 years 4 months ago
Ensemble Methods in Machine Learning
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Thomas G. Dietterich
UML
1998
Springer
15 years 5 months ago
Literate Modelling - Capturing Business Knowledge with the UML
At British Airways, we have found during several large OO projects documented using the UML that non-technical end-users, managers and business domain experts find it difficult to ...
Jim Arlow, Wolfgang Emmerich, John Quinn
JBI
2006
102views Bioinformatics» more  JBI 2006»
15 years 23 days ago
Heuristic evaluation of paper-based Web pages: A simplified inspection usability methodology
Online medical information, when presented to clinicians, must be well-organized and intuitive to use, so that the clinicians can conduct their daily work efficiently and without ...
Mureen Allen, Leanne M. Currie, Suzanne Bakken, Vi...
101
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TLT
2008
90views more  TLT 2008»
15 years 21 days ago
Group Scribbles to Support Knowledge Building in Jigsaw Method
The jigsaw method empowers students to build their own knowledge through successive engagement through interactions in original group discussions and in expert group discussions. H...
Chee-Kit Looi, Chiu-Pin Lin, Kuo-Ping Liu
GPEM
2000
126views more  GPEM 2000»
15 years 18 days ago
Automatic Creation of Human-Competitive Programs and Controllers by Means of Genetic Programming
Genetic programming is an automatic method for creating a computer program or other complex structure to solve a problem. This paper first reviews various instances where genetic p...
John R. Koza, Martin A. Keane, Jessen Yu, Forrest ...